Data Scientist

Data Scientist

Full-Time 49500 - 60500 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Join our team to develop pricing models that drive revenue growth and explore new opportunities.
  • Company: ATG Entertainment, a leader in live events with a focus on innovation and collaboration.
  • Benefits: Competitive salary, inclusive culture, and opportunities for professional development.
  • Other info: Flexible work environment with a commitment to diversity and inclusion.
  • Why this job: Make a real impact in the entertainment industry while working with cutting-edge data science techniques.
  • Qualifications: Experience in pricing analytics and strong statistical skills are essential.

The predicted salary is between 49500 - 60500 £ per year.

Pricing is one of the most direct levers ATG has for revenue growth, and the Pricing Data Science team has already proven that out through several pricing models now live in production.

As the team scales across multiple growth areas, this hire is central to that expansion: working alongside Revenue Managers to build proofs of concept that make sure no revenue opportunity goes unexplored and helping size and prioritise the next models on the roadmap.

The role sits at the intersection of Revenue Management, CRM & Marketing, and ML Engineering, and needs someone who can operate credibly across all three.

In the near term, that means adding delivery capacity to two live workstreams: the Sales-facing revenue quick-wins programme and the model backlog, with output from week one, not after a long ramp.

Key responsibilities

  • Contribute directly to the live revenue quick wins workstream, translating commercial rules and constraints supplied by Sales into working model logic.
  • Own discrete items from the model backlog end-to-end: specify, build, validate, and ship to production.
  • Apply causal inference to pricing decisions at the same rigor the team already uses for VP measurement: difference-in-differences, Causal Impact/BSTS-style approaches, or comparable quasi-experimental design, with suppression and substitution effects accounted for rather than a naive before/after comparison Run two to three workstreams concurrently with minimal supervision, and flag blockers and scope risk early rather than waiting to be asked.
  • Your skills, qualities, and experience
  • A proven track record of applied experience in pricing or revenue management analytics in a genuinely high-frequency, perishable-inventory, demand-variable domain: live events/ticketing, airline, hotel, sports, or transport RM.

Ticketing/entertainment-sector experience is strongly preferred, not mandatory.

  • Hands-on causal inference applied to a real pricing or promotional decision, not textbook familiarity: can describe, unprompted, how they handled confounding and selection bias on an actual dataset.
  • Applied statistics/econometrics strong enough to defend a specific model choice (why OLS, why a GLM, why not a black-box model) rather than defaulting to whichever library was fastest to reach for.
  • Demonstrated comfort switching between unrelated problems inside a single week without a long re-orientation each time.
  • Direct pricing or revenue management experience in live entertainment or ticketing specifically.
  • AWS ML stack experience (Sage Maker in particular), or a demonstrated fast translation from an equivalent platform.
  • Experience with seat-map or other inventory-constrained demand modelling.
  • Exposure to LLM/Gen AI tooling inside a production analytics workflow.
  • Python

About Us-Our values

  • THRIVE doing what we love (with passion and dynamism)
  • CONNECT through every act (with collaboration and kindness)
  • DARE to do different (with curiosity and courage)
  • PERFORM at our best (with customer focus and ownership)
  • Our Corporate Social Responsibility pillars
  • Inclusion: Committing to creating and upholding a positive, inclusive culture that nurtures potential and supports well-being.
  • Sustainability: Playing your part in reducing our environmental impact and finding more sustainable ways of working.
  • Next

Generations: Encouraging the next generation in live entertainment by contributing to our outreach and training programmes, including mentoring students and trainees, and supporting our Creative Learning and Community Partnerships work.

Our culture

You’ll help us uphold a positive culture around meeting our obligations, by having a positive attitude to health and safety, legal and insurance requirements and take care to understand our policies and procedures.

We are all expected to participate actively in the life of the company, and opportunities will arise for you to collaborate with others across the business.

Everyone at ATG Entertainment is expected to be flexible and adapt as the needs of the business change, taking on new or different responsibilities as the need arises.

Our Inclusion, Diversity, Equity and Access Mission Statement - A Stage for Everyone

Our stages are a platform for compelling stories - stories that are for all, by all, and of all.

We shine our spotlight on our differences and believe that understanding and celebrating these differences makes us better global citizens.

We are passionate about the pursuit of true diversity and equality.

We strive to make our venues beacons of these ideals in our communities.

Onstage and off, we hold ourselves accountable for nurturing an inclusive culture, one in which everyone can bring their authentic selves.

At ATG entertainment, we provide a stage for everyone.

We recognise that we do not have all the answers; but we strive to listen, to learn and to change in order to ensure ATG Entertainment becomes a truly inclusive organisation.

We therefore welcome and encourage applications from individuals from the widest possible range of backgrounds and particularly welcome applications from those currently underrepresented in our workforce.

We are a Disability Confident Committed Employer, which means that we are taking action to ensure that people with disabilities and long-term health conditions feel supported, engaged and able to fulfil their potential in the workplace.

We will offer an interview or recruitment event to disabled candidates who tell us they wish to participate in the scheme and who demonstrate in their application that they best meet the essential criteria for the role.

Where we receive more applications than we are reasonably able to interview for any given role, we will retain applications for the next available interview opportunity wherever possible.

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Data Scientist employer: Allscreens Nationwide Ltd

Allscreens Nationwide is an exceptional employer, offering a supportive team culture where employees are valued and encouraged to thrive. With access to state-of-the-art training facilities and opportunities for career progression, our Automotive Glazing Technicians in Birmingham can expect not only competitive bonuses but also the chance to work with the latest technology in the industry. Join us and be part of a company that prioritises both employee well-being and customer satisfaction.

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Contact Details:

Allscreens Nationwide Ltd Recruitment Team

We think you need these skills to ace Data Scientist

Causal Inference
Applied Statistics
Econometrics
Revenue Management Analytics
Pricing Model Development
Python
AWS ML Stack (SageMaker)